Partitioning knowledge bases between advanced notification and clinical decision support systems.

Tara Borlawsky, Jianrong Li, Srikant Jalan, Edie Stern, Rose Williams, Yves A Lussier

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Due to the varying rates of change of ephemeral administrative and enduring clinical knowledge in decision support systems (DSSs), the functional partition of knowledge base (KB) components can lead to more efficient and cost-effective system implementation and maintenance. Our prototype loosely couples a clinical event monitor developed by Columbia University Medical Center (CUMC) with a secure notification service proxy developed by IBM Research to form a novel and complex clinical event communication service.

Original languageEnglish (US)
Pages (from-to)901
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2005
Externally publishedYes

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Clinical Decision Support Systems
Knowledge Bases
Proxy
Communication
Maintenance
Costs and Cost Analysis
Research

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Partitioning knowledge bases between advanced notification and clinical decision support systems. / Borlawsky, Tara; Li, Jianrong; Jalan, Srikant; Stern, Edie; Williams, Rose; Lussier, Yves A.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 2005, p. 901.

Research output: Contribution to journalArticle

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